This workshop aims to advance AI/ML applications in flow cytometry and related data. The workshop will focus on overcoming challenges and identifying solutions including essential measurements, reference controls, AI-ready reference data and ML/AI models. These efforts will target emerging applications in disease diagnosis, therapeutic development, manufacturing, and clinical trials as well as dosing and monitoring.
Day and Time | Session |
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Monday, June 9, 2025 | |
10:30 am – 10:45 am EDT | Welcome |
10:45 am – 11:45 am EDT | Setting the stage Max Qian, PhD, J. Craig Venter Institute Thomas Liechti, Roche and ISAC |
12:00 pm – 1:00 pm EDT | Break |
1:00 pm – 3:00 pm EDT | Flow cytometry in research and the clinic – Part I • John Quinn, BD Life Sciences, Data Driven Insights and Future Trends |
3:00 pm – 3:30 pm EDT | Break |
3:30 pm – 5:00 pm EDT | Challenges and potential solutions for AI/ML applications – Part I • Holden Maecker, Stanford University, Featured Presentation, Methods for producing high-quality clinical flow data |
Tuesday, June 10, 2025 | |
10:30 am – 10:45 am EDT | Welcome, Day 2 |
10:45 am – 12:00 pm EDT | Flow Data Repositories and AI Resources • Anupama Gururaj, NIAID/NIH, NIAID ImmPort |
12:00 pm – 1:00 pm EDT | Break |
1:00 pm – 3:00 pm EDT | Updates on NIST FCSC Interlaboratory Studies and Centralized Data Analysis • Lili Wang, NIST, Assay Interlaboratory Study Overview |
3:00 pm – 3:30 pm EDT | Break |
3:30 pm – 4:30 pm EDT | Advanced Technologies Showcase Presentations • Curiox |
4:30 pm – 4:45 pm EDT 1:30 pm – 1:45 pm PDT | Conclusion |